Use of Porphysomes to detect primary tumour, lymph node metastases, intra-abdominal metastases and as a tool for image-guided lymphadenectomy: proof of concept in endometrial cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: To investigate Porphysome fluorescence image-guided resection (PYRO-FGR) for detection of uterine tumour, metastatic lymph nodes and abdominal metastases in a model of endometrial cancer. Methods: White New Zealand rabbits were inoculated with VX2 cells via intra-myometrial injection. At 30 days, Porphysomes were administered intravenously. At 24 h the abdomen was imaged and fluorescent tissue identified (PYRO-FGR). After complete resection of fluorescent tissue, fluorescence-negative lymph nodes and peritoneal biopsies were removed. Histopathology including ultra-staging and analysis by a pathologist was used to detect tumour. Fluorescence signal to background ratio (SBR) was calculated and VX2 (+) tissue compared to VX2 (-) tissue. Biodistribution was calculated and Porphysome accumulation in fluorescent VX2 (+) tissue compared to fluorescent VX2 (-) and non-fluorescent VX2 (-) tissue. Results: Of 17 VX2 models, 10 received 4 mg/kg of Porphysomes and 7 received 1 mg/kg. Seventeen tumours (UT), 81 lymph nodes (LN) and 54 abdominal metastases (AM) were fluorescence-positive and resected. Of these, 17 UT, 60 LN and 45 AM were VX2 (+), while 16 LN and 5 AM were VX2 (-). Nine specimens were excluded from analysis. Thirty-one LN and 53 peritoneal biopsies were fluorescence-negative and resected. Of these, all LN and 51/53 biopsies were VX2 (-) with only 2 false-negative biopsies. Sensitivity and specificity of PYRO-FGR for VX2 (+) tissue was 98.4% / 80.0% overall, 100% / 100% for UT, 100% / 66.0 % for LN and 95.7% / 91.4% for AM. Increased SBR and biodistribution was observed in VX2 (+) tissue vs. VX2 (-) tissue. Conclusions: Porphysomes are a highly sensitive imaging agent for intra-operative detection and resection of uterine tumour, metastatic lymph nodes and abdominal metastases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it